Learning Synaptic Plasticity Rules to Embed Stochastic Dynamics of the Environment in Spontaneous Neural Activity

The brain learns an internal model of the environment through sensory experiences, which is reflected in the statistical properties of spontaneous neural activity. This study proposes biologically plausible synaptic plasticity rules that allow a recurrent spiking neural network to learn and spontaneously replay the stochastic dynamics of sensory inputs.